Traffic flow forecasting based on a hybrid model

Journal of Intelligent Transportation Systems ◽

10.1080/15472450.2015.1091735 ◽

2015 ◽

Vol 20 (5) ◽

pp. 428-437 ◽

Author(s):

Chao Wang ◽

Zhirui Ye

Keyword(s):

Traffic Flow ◽

Hybrid Model ◽

Traffic Flow Forecasting

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Data mining for air traffic flow forecasting: a hybrid model of neural network and statistical analysis

Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems ◽

10.1109/itsc.2003.1251950 ◽

2004 ◽

Author(s):

Taoya Cheng ◽

Deguang Cui ◽

Peng Cheng

Keyword(s):

Neural Network ◽

Data Mining ◽

Statistical Analysis ◽

Traffic Flow ◽

Hybrid Model ◽

Air Traffic ◽

Traffic Flow Forecasting ◽

Air Traffic Flow

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A Hybrid Model for Lane-Level Traffic Flow Forecasting Based on Complete Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

IEEE Access ◽

10.1109/access.2020.2977219 ◽

2020 ◽

Vol 8 ◽

pp. 42042-42054 ◽

Author(s):

Wenqi Lu ◽

Yikang Rui ◽

Ziwei Yi ◽

Bin Ran ◽

Yuanli Gu

Keyword(s):

Traffic Flow ◽

Empirical Mode Decomposition ◽

Hybrid Model ◽

Ensemble Empirical Mode Decomposition ◽

Gradient Boosting ◽

Traffic Flow Forecasting ◽

Mode Decomposition ◽

Extreme Gradient Boosting

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Method for estimating network structure of short-term traffic flow forecasting model

Journal of Computer Applications ◽

10.3724/sp.j.1087.2009.03249 ◽

2010 ◽

Vol 29 (12) ◽

pp. 3249-3252

Author(s):

Ying XIA ◽

Zhong-jun LIANG

Keyword(s):

Traffic Flow ◽

Network Structure ◽

Forecasting Model ◽

Traffic Flow Forecasting

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Attention Based Multi-Unit Spatial-Temporal Network for Traffic Flow Forecasting

2021 8th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2021 7th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom) ◽

10.1109/cscloud-edgecom52276.2021.00048 ◽

2021 ◽

Author(s):

Chuang Ma ◽

Xinting Hu ◽

Shuaiwu Liu ◽

Lei Liu

Keyword(s):

Traffic Flow ◽

Temporal Network ◽

Traffic Flow Forecasting

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Urban Traffic Flow Forecasting Based on Memory Time-Series Network

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc45102.2020.9294385 ◽

2020 ◽

Author(s):

Shengjian Zhao ◽

Shu Lin ◽

Yunlong Li ◽

Jungang Xu ◽

Yibing Wang

Keyword(s):

Time Series ◽

Traffic Flow ◽

Urban Traffic ◽

Traffic Flow Forecasting ◽

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Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting

Proceedings of the 29th ACM International Conference on Information & Knowledge Management ◽

10.1145/3340531.3411894 ◽

2020 ◽

Author(s):

Bin Lu ◽

Xiaoying Gan ◽

Haiming Jin ◽

Luoyi Fu ◽

Haisong Zhang

Keyword(s):

Traffic Flow ◽

Urban Traffic ◽

Traffic Flow Forecasting

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A Summary of Short-Term Traffic Flow Forecasting Methods

10.1061/41186(421)168 ◽

2011 ◽

Author(s):

Gang Chang ◽

Yi Zhang ◽

Danya Yao ◽

Yun Yue

Keyword(s):

Traffic Flow ◽

Traffic Flow Forecasting ◽

Forecasting Methods

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Traffic Flow Forecasting

at - Automatisierungstechnik ◽

10.1524/auto.2001.49.11.505 ◽

2001 ◽

Vol 49 (11/2001) ◽

Author(s):

B. S. Kerner ◽

R. G. Herrtwich

Keyword(s):

Traffic Flow ◽

Traffic Flow Forecasting

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TrafficBERT: Pre-trained model with large-scale data for long-range traffic flow forecasting

Expert Systems with Applications ◽

10.1016/j.eswa.2021.115738 ◽

2021 ◽

pp. 115738

Author(s):

KyoHoon Jin ◽

JeongA Wi ◽

EunJu Lee ◽

ShinJin Kang ◽

SooKyun Kim ◽

...

Keyword(s):

Traffic Flow ◽

Large Scale ◽

Traffic Flow Forecasting ◽

Large Scale Data ◽

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A weighted pattern recognition algorithm for short-term traffic flow forecasting

Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control ◽

10.1109/icnsc.2012.6204881 ◽

2012 ◽

Author(s):

Shuangshuang Li ◽

Zhen Shen ◽

Fei-Yue Wang

Keyword(s):

Pattern Recognition ◽

Traffic Flow ◽

Recognition Algorithm ◽

Pattern Recognition Algorithm ◽

Traffic Flow Forecasting

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